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PySpark Certification Training Course
Introduction
Overview of PySpark
Installation and Setup of PySpark
PySpark Basics
DataFrames and RDDs
Transformations and Actions
Filtering and Sorting Data
Advanced PySpark Concepts
Joins and Aggregations
Window Functions
User Defined Functions
PySpark Machine Learning
Introduction to PySpark MLlib
Feature Engineering
Model Training and Evaluation
PySpark Streaming
Streaming Concepts
Structured Streaming
Kafka Integration
PySpark Optimization and Tuning
Performance Tuning Techniques
Caching and Persistence
Cluster Management
PySpark Project
Capstone Project
Final Exam Preparation
Certification Exam
Exam Overview
Practice Questions
Exam Tips and Strategies
Conclusion
Recap and Future Learning Opportunities
Course Feedback and Review
Practice Questions
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